Web Reference: Jan 11, 2021 · Memoisation is a technique which can significantly improve a recursive function's performance by reducing the computational liability. It stores the results of expensive function calls in an array or dictionary and returns the cached results when the same input is called. We’ll use the Fibonacci algorithm from Chapter 2 to demonstrate memoizing code we write and the memoization features we can find in the Python standard library. We’ll also learn why memoization can’t be applied to every recursive function. Jul 11, 2025 · It can be used to optimize the programs that use recursion. In Python, memoization can be done with the help of function decorators. Let us take the example of calculating the factorial of a number. The simple program below uses recursion to solve the problem:
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